Pollutant Transformation, Ground-based Pollutant Monitoring Multi Parameters - Preliminary Data - Fort McKay, Oil Sands Region
Bibliographic record
Abstract
Long Term Air Pollutant and Meteorological Monitoring at Fort McKay’s Oski-ôtin site: Preliminary data Continuous and integrated monitoring of multiple air pollutants along with meteorological conditions began in Fort McKay at the Oski-ôtin site in August 2013. The purpose of Oski-ôtin’s enhanced monitoring is to gain a clearer picture of the mixture, transport and fate of air pollutants produced from the different oil sands related activities. Compared to the pre-existing monitoring conducted by Wood Buffalo Environmental Association (WBEA) in Fort McKay and throughout the region, the Oski-ôtin site provides measurements for a larger number of pollutants using research grade instruments (configured to be more precise at lower concentrations). Instruments located at this site also monitor pollutants, winds and temperatures at multiple heights above the ground. The Oski-ôtin site is located 0.6 km south of the Fort McKay WBEA air monitoring site (AMS 1 Bertha Ganter); therefore, peak concentrations of sulphur dioxide (SO2), nitrogen oxides (NOx), particulate matter (PM2.5) and ozone (O3), are generally similar at both sites in time and concentration. Oski-ôtin’s data shows that some pollutant concentrations at Fort McKay are regularly above regional background levels, including several volatile organic compounds (VOCs), carbon monoxide (CO) and particle-related chemical species (e.g., sulphate, black carbon). Generally, these pollutant concentrations are not of immediate concern, but cumulative impacts in the long-term can be significant. Elevated VOC concentrations can contribute to odour events in Fort McKay. Both preliminary data and final, validated data from the Oski-ôtin site are available. Preliminary data, collected from several scientific instruments over a range of time periods and averaged to thirty minutes, are available at weekly intervals, normally one week after the data have been collected. These preliminary data are subject to limited quality control and assurance, and data recorded during instrument malfunctions may be present. Various time lags may remain between parameters, and final calibrations have not been applied. Preliminary data are subject to change. It is recommended that people wishing to use these data first consult with the Principal Investigator to better understand potential limitations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".